Github user cloud-fan commented on the issue:
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can you highlight your approach to fix this bug? It looks to me that this
is not a general fix, e.g. `mutable.Map` will still fail.
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--- Diff: docs/ml-classification-regression.md ---
@@ -75,6 +75,13 @@ More details on parameters can be found in the [Python
API documentation](api/py
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--- Diff: examples/src/main/r/ml/ml.R ---
@@ -0,0 +1,64 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contribu
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--- Diff: docs/sparkr.md ---
@@ -512,39 +512,33 @@ head(teenagers)
# Machine Learning
-SparkR supports the following machine learning
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--- Diff: docs/sparkr.md ---
@@ -512,39 +512,33 @@ head(teenagers)
# Machine Learning
-SparkR supports the following machine learning
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--- Diff: examples/src/main/r/ml/gaussianMixture.R ---
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
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--- Diff: examples/src/main/r/ml/randomForest.R ---
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
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# Machine Learning
-SparkR supports the following machine learning
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--- Diff: examples/src/main/r/ml/lda.R ---
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
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--- Diff: docs/ml-classification-regression.md ---
@@ -847,6 +893,14 @@ Refer to the [`IsotonicRegression` Python
docs](api/python/pyspark.ml.html#pyspa
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+# Licensed to the Apache Software Foundation (ASF) under one or more
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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Github user yanboliang commented on the issue:
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@felixcheung That's a good question. We don't run all MLlib examples for
testing until [SPARK-12347](https://issues.apache.org/jira/browse/SPARK-12347)
was resolved.
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Github user felixcheung commented on the issue:
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hmm, yea, I suspect these example can be easily forgotten while changes are
made - they could end up getting out of sync easily
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thanks, updated. @rxin could you please review release-build.sh?
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Yeah, I have the same concerns, so we should push forward SPARK-12347 and
it should not be very hard to do that.
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val
Github user AnthonyTruchet commented on the issue:
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@sethah Agreed, that's why I uggested to add a dedicated treeAggregate
wrapper to MLlin Utils which would take care of that without fiddling with
sparsity for each seqOP and comboOp. See clos
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Github user lichenglin commented on the issue:
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I'm using spark 2.0.2 I got a really big hive-stage folder.
May I delete the folder Manually ?
does it make any bad affect on warehouse?
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Github user kiszk commented on the issue:
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@andrewor14 would it be possible to review this code? Or, could you please
create the similar PR from https://github.com/apache/spark/pull/13899?
Your original refactoring was great. In addition to
Github user kiszk commented on the issue:
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@andrewor14 would it be possible to review this?
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[SPARK-18209][SQL] More robust view canonicalization without full SQL
expansion
## What changes were proposed in this pull request?
Currently we canonicalize the view definition to pro
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@@ -59,17 +59,22 @@ Given $n$ weighted observations $(w_i, a_i, b_i)$:
The number of features for each observa
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[SPARK-18326][SPARKR][ML] Review SparkR ML wrappers API for 2.1
## What changes were proposed in this pull request?
Reviewing SparkR ML wrappers API for 2.1 release, mainly issues include:
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[SPARK-18634][SQL][TRIVIAL] Touch-up Generate
## What changes were proposed in this pull request?
I jumped the gun on merging https://github.com/apache/spark/pull/16120, and
missed a tiny po
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GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/16171
[SPARK-18739][ML][PYSPARK] Models in pyspark.classification support
setXXXCol methods
## What changes were proposed in this pull request?
1, add `setFeaturesCol` and `setPredictionCol` in
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Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala ---
@@ -114,9 +117,26 @@ private[hive] class HiveMetastoreCatalog(s
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